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Investment in electric energy storage under uncertainty: a real options approach

Author

Listed:
  • Ida Bakke

    (Norwegian University of Science and Technology)

  • Stein-Erik Fleten

    (Norwegian University of Science and Technology)

  • Lars Ivar Hagfors

    (Norwegian University of Science and Technology)

  • Verena Hagspiel

    (Norwegian University of Science and Technology)

  • Beate Norheim

    (Norwegian University of Science and Technology)

  • Sonja Wogrin

    (Comillas University)

Abstract

In this paper we develop a real options approach to evaluate the profitability of investing in a battery bank. The approach determines the optimal investment timing under conditions of uncertain future revenues and investment cost. It includes time arbitrage of the spot price and profits by providing ancillary services. Current studies of battery banks are limited, because they do not consider the uncertainty and the possibility of operating in both markets at the same time. We confirm previous research in the sense that when a battery bank participates in the spot market alone, the revenues are not sufficient to cover the initial investment cost. However, under the condition that the battery bank also can receive revenues from the balancing market, both the net present value (NPV) and the real options value are positive. The real options value is higher than the NPV, confirming the value of flexible investment timing when both revenues and investment cost are uncertain.

Suggested Citation

  • Ida Bakke & Stein-Erik Fleten & Lars Ivar Hagfors & Verena Hagspiel & Beate Norheim & Sonja Wogrin, 2016. "Investment in electric energy storage under uncertainty: a real options approach," Computational Management Science, Springer, vol. 13(3), pages 483-500, July.
  • Handle: RePEc:spr:comgts:v:13:y:2016:i:3:d:10.1007_s10287-016-0256-3
    DOI: 10.1007/s10287-016-0256-3
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    10. Paolo Falbo & Juri Hinz & Piyachat Leelasilapasart & Cristian Pelizzari, 2021. "A Computational Approach to Sequential Decision Optimization in Energy Storage and Trading," Research Paper Series 422, Quantitative Finance Research Centre, University of Technology, Sydney.
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